Hyungwon Choi
Associate Professor Hyungwon Choi
Faculty & Department
Education
Doctor of Philosophy, University of Michigan, United States
Bachelor of Arts (Humanities), Seoul National University, Korea, Republic of
Bio
Our research laboratory develops computational and statistical solutions for the analysis of high-dimensional molecular data in various contexts of biomedical research. These tools are motivated by a wide range of research topics, including: 1. Network inference and interpretable integration of multi-omics data in biological experiments and clinical studies2. Development of novel informatics tools for large-scale untargeted and targeted mass spectrometry (MS) data processing in metabolomics3. Effect size-driven analysis approaches for protein modifications, interactions, and other applications of proteomics4. Using Atlas data sets as a prior information to make cell population-level inference from bulk -omics data5. Clinical application of sequencing and mass spectrometry-based omics technologies
Affiliated Scholarships
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I am an Associate Professor at the Yong Loo Lin School of Medicine, National University of Singapore. My research is focused on computational and statistical method development for systems biology research. As PI and co-PI over four individual Singapore Ministry of Education and Ministry of Health research grants, two programmatic grants, and a joint DMS-NIGMS grant, I have developed innovative data analytic approaches to extract signals from mass spectrometry-based proteomics and metabolomics data and describe cellular dynamics in terms of protein abundance, modifications, and interaction, and small molecule measurements. In addition, I have recently contributed to development of state-of-the-art statistical computing algorithms for the estimation of regularized regression models and Gaussian graphical models in ultrahigh-dimensional data, aiming for integrative omics analysis of modern multi-omics data. With the expertise accrued in the fields of computational biology, bioinformatics, and mass spectrometry-based quantitative proteomics and metabolomics, I have led a multiple teams of data analysts for clinical biomarker studies in type II diabetes, diabetic complications, cardiovascular disease, and cognitive decline and other aging-related diseases conducted in Singapore.
Computational Biology